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This repository contains the annotations and download scripts for the audio files of the GiantSteps Key data set. This data set was published at ISMIR 2015: P. Knees et al.: "Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections"
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annotations
md5
.gitignore
README
audio_dl.sh
convert_audio.sh
sources.xlsx

README

name:             GiantSteps (key)

contact:          Peter Knees <peter.knees@jku.at>
                  Ángel Faraldo <angel.faraldo@upf.edu>
                  Richard Vogl <richard.vogl@jku.at>

description:      collection of annotations for 604 2min(1) audio previews from
                  www.beatport.com

reference:        Peter Knees, Ángel Faraldo, Perfecto Herrera, Richard Vogl,
                  Sebastian Böck, Florian Hörschläger, Mickael Le Goff: "Two data
                  sets for tempo estimation and key detection in electronic dance
                  music annotated from user corrections," Proc. of the 16th
                  Conference of the International Society for Music Information
                  Retrieval (ISMIR'15), Oct. 2015, Malaga, Spain.

annotations:      key

content:
=========================================================================
audio/                   original audio files in mp3 format
md5/                     md5 hashes of original audio files
annotations/genre/       genre annotations
annotations/key/         key annotations
annotations/giantsteps/  annotations in the GiantSteps project format
annotations/jams/	 annotations in the JAMS (https://github.com/marl/jams) format

notes:
=========================================================================
The audio files (604 files, size ~850Mb) can be downloaded from http://www.beatport.com/
using the bash script:

./audio_dl.sh

To download the files manually use links of the following form:
http://geo-samples.beatport.com/lofi/<name of mp3 file>
e.g.:
http://geo-samples.beatport.com/lofi/5377710.LOFI.mp3

To convert the audio files to .wav use (bash + sox):

./convert_audio.sh

To retrieve the genre information, the JSON contained within the website was parsed.
The key annotation was extracted from forum entries of people correcting the key annotations (i.e. manual annotation of tempo).
For more information please contact creators.


(1): Most of the audio files are 120 seconds long. Exceptions are:
name              length
1224698.LOFI.mp3  45
1442809.LOFI.mp3  62
3424038.LOFI.mp3  77
4452003.LOFI.mp3  59

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